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MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics.

, , , and . J. Adv. Comput. Intell. Intell. Informatics, 22 (5): 747-758 (2018)

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A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria., , , and . CcS, page 1-6. IEEE, (2020)Local subspace learning by extended fuzzy c-medoids clustering., , , and . Int. J. Knowl. Eng. Soft Data Paradigms, 2 (2): 169-181 (2010)Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis., , , and . IUKM, volume 9978 of Lecture Notes in Computer Science, page 175-184. (2016)The Rough Membership k-Means Clustering., , and . IUKM, volume 9978 of Lecture Notes in Computer Science, page 207-216. (2016)Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data., , , and . MDAI, volume 11144 of Lecture Notes in Computer Science, page 232-242. Springer, (2018)PCA-guided fuzzy cluster validation with noise rejection., , , and . FUZZ-IEEE, page 1-6. IEEE, (2010)FCM-type switching regression with alternating least squares method., , , and . FUZZ-IEEE, page 122-127. IEEE, (2008)Fuzzy co-clustering of vertically partitioned cooccurrence data with privacy consideration., , and . FUZZ-IEEE, page 2500-2504. IEEE, (2014)A cluster validity index for FCM-type co-clustering., , , and . FUZZ-IEEE, IEEE, (2013)A fuzzy co-clustering model for three-modes relational cooccurrence data., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)